Christian Böhm

Orcid: 0000-0002-2237-9969

Affiliations:
  • University of Vienna, Austria
  • Ludwig Maximilian University of Munich, Germany (former)


According to our database1, Christian Böhm authored at least 165 papers between 1995 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Network Embedding via Deep Prediction Model.
IEEE Trans. Big Data, April, 2023

Influence without Authority: Maximizing Information Coverage in Hypergraphs.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Extension of the Dip-test Repertoire - Efficient and Differentiable p-value Calculation for Clustering.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

k-SubMix: Common Subspace Clustering on Mixed-Type Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Adversarial Anomaly Detection using Gaussian Priors and Nonlinear Anomaly Scores.
Proceedings of the IEEE International Conference on Data Mining, 2023

Interpretable Subgraph Feature Extraction for Hyperlink Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2023

Benchmarking Deep Clustering Algorithms With ClustPy.
Proceedings of the IEEE International Conference on Data Mining, 2023

Incorporating User's Preference into Attributed Graph Clustering : Extended abstract.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Non-Redundant Image Clustering of Early Medieval Glass Beads.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Application of Deep Clustering Algorithms.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
An Interpretable Neuron Embedding for Static Knowledge Distillation.
CoRR, 2022

Automatic Parameter Selection for Non-Redundant Clustering.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

The DipEncoder: Enforcing Multimodality in Autoencoders.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Deep Clustering With Consensus Representations.
Proceedings of the IEEE International Conference on Data Mining, 2022

DBHD: Density-based clustering for highly varying density.
Proceedings of the IEEE International Conference on Data Mining, 2022

Enhancing k-Means Algorithm with Tensor Processing Unit.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Incorporating User's Preference into Attributed Graph Clustering.
IEEE Trans. Knowl. Data Eng., 2021

A Novel Hilbert Curve for Cache-Locality Preserving Loops.
IEEE Trans. Big Data, 2021

Fusing attributed and topological global-relations for network embedding.
Inf. Sci., 2021

Dip-based Deep Embedded Clustering with k-Estimation.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Details (Don't) Matter: Isolating Cluster Information in Deep Embedded Spaces.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Density-Based Clustering for Adaptive Density Variation.
Proceedings of the IEEE International Conference on Data Mining, 2021

2020
Non-Redundant Subspace Clusterings with Nr-Kmeans and Nr-DipMeans.
ACM Trans. Knowl. Discov. Data, 2020

Clustering of mixed-type data considering concept hierarchies: problem specification and algorithm.
Int. J. Data Sci. Anal., 2020

DeepECT: The Deep Embedded Cluster Tree.
Data Sci. Eng., 2020

Space-filling Curves for High-performance Data Mining.
CoRR, 2020

Data Compression as a Comprehensive Framework for Graph Drawing and Representation Learning.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Online Semi-supervised Multi-label Classification with Label Compression and Local Smooth Regression.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Community Attention Network for Semi-supervised Node Classification.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Hierarchical Quick Shift Guided Recurrent Clustering.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Improved Data Locality Using Morton-order Curve on the Example of LU Decomposition.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Massively Parallel Graph Drawing and Representation Learning.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Massively Parallel Random Number Generation.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Deep Embedded Non-Redundant Clustering.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Cache-oblivious High-performance Similarity Join.
Proceedings of the 2019 International Conference on Management of Data, 2019

Clustering of Mixed-Type Data Considering Concept Hierarchies.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Deep Embedded Cluster Tree.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Anomaly Detection in Time Series using Generative Adversarial Networks.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Network Structure and Transfer Behaviors Embedding via Deep Prediction Model.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
High-Dimensional Indexing.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Discovering Non-Redundant K-means Clusterings in Optimal Subspaces.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017
Pyramid Technique.
Proceedings of the Encyclopedia of GIS., 2017

Synchronization-based scalable subspace clustering of high-dimensional data.
Knowl. Inf. Syst., 2017

Multi-core K-means.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Attributed Graph Clustering with Unimodal Normalized Cut.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Learning from Labeled and Unlabeled Vertices in Networks.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Towards an Optimal Subspace for K-Means.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Joint Gaussian Based Measures for Multiple-Instance Learning.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Novel Indexing Strategy and Similarity Measures for Gaussian Mixture Models.
Proceedings of the Database and Expert Systems Applications, 2017

Indexing Multiple-Instance Objects.
Proceedings of the Database and Expert Systems Applications, 2017

Knowledge Discovery of Complex Data Using Gaussian Mixture Models.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2017

2016
FUSE: Full Spectral Clustering.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Covariate-Related Structure Extraction from Paired Data.
Proceedings of the Information Technology in Bio- and Medical Informatics, 2016

Gaussian Component Based Index for GMMs.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Subspace Clustering Ensembles through Tensor Decomposition.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

MeGS: Partitioning Meaningful Subgraph Structures Using Minimum Description Length.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Cache-oblivious loops based on a novel space-filling curve.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Anytime density-based clustering of complex data.
Knowl. Inf. Syst., 2015

Mining Massive Vector Data on Single Instruction Multiple Data Microarchitectures.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Development and evaluation of a facebook-based product advisor for online dating sites.
Proceedings of the Datenbanksysteme für Business, Technologie und Web (BTW 2015), 2015

Musical similarity analysis based on chroma features and text retrieval methods.
Proceedings of the Datenbanksysteme für Business, Technologie und Web (BTW 2015), 2015

2014
Finding the Optimal Subspace for Clustering.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Identification of SNP interactions using data-parallel primitives on GPUs.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013
Synchronization-Inspired Partitioning and Hierarchical Clustering.
IEEE Trans. Knowl. Data Eng., 2013

Efficient Anytime Density-based Clustering.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Robust Synchronization-Based Graph Clustering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Massively parallel expectation maximization using graphics processing units.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Active Density-Based Clustering.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Compression-Based Graph Mining Exploiting Structure Primitives.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Multi-label classification models for sustainable flood retention basins.
Environ. Model. Softw., 2012

Measuring Non-Gaussianity by Phi-Transformed and Fuzzy Histograms.
Adv. Artif. Neural Syst., 2012

Efficient Comparison of Encrypted Biometric Templates.
Proceedings of the Trust, Privacy and Security in Digital Business, 2012

Summarization-based mining bipartite graphs.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Searching Uncertain Data Represented by Non-axis Parallel Gaussian Mixture Models.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

2011
Biometric Template Protection - Ein Bericht über das Projekt BioKeyS.
Datenschutz und Datensicherheit, 2011

Weighted Graph Compression for Parameter-free Clustering With PaCCo.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

INCONCO: interpretable clustering of numerical and categorical objects.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Detection of Arbitrarily Oriented Synchronized Clusters in High-Dimensional Data.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

JGrid/FCC: A Tool for Efficient Knowledge Extraction from MRI Scans.
Proceedings of the 2011 Database and Expert Systems Applications, 2011

Genetic Algorithm for Finding Cluster Hierarchies.
Proceedings of the Database and Expert Systems Applications, 2011

Filtertechniken für geschützte biometrische Datenbanken.
Proceedings of the Datenbanksysteme für Business, 2011

Efficient Database Techniques for Identification with Fuzzy Vault Templates.
Proceedings of the BIOSIG 2011, 2011

2010
Automated detection of brain atrophy patterns based on MRI for the prediction of Alzheimer's disease.
NeuroImage, 2010

Hierarchical Density-Based Clustering of White Matter Tracts in the Human Brain.
Int. J. Knowl. Discov. Bioinform., 2010

Synchronization Based Outlier Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

ITCH: Information-Theoretic Cluster Hierarchies.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

SkyDist: Data Mining on Skyline Objects.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Integrative Parameter-Free Clustering of Data with Mixed Type Attributes.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Frequent subgraph discovery in dynamic networks.
Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010

Clustering by synchronization.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Combining Time Series Similarity with Density-Based Clustering to Identify Fiber Bundles in the Human Brain.
Proceedings of the ICDMW 2010, 2010

Parallel EM-Clustering: Fast Convergence by Asynchronous Model Updates.
Proceedings of the ICDMW 2010, 2010

Robust Second-Order Source Separation Identifies Experimental Responses in Biomedical Imaging.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Information-Theoretic Model Selection for Independent Components.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

2009
High Dimensional Indexing.
Proceedings of the Encyclopedia of Database Systems, 2009

Data Mining Using Graphics Processing Units.
Trans. Large Scale Data Knowl. Centered Syst., 2009

CoCo: coding cost for parameter-free outlier detection.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Density-based clustering using graphics processors.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Probabilistic skyline queries.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Indexsupported Similarity Join on Graphics Processors.
Proceedings of the Datenbanksysteme in Business, 2009

Model-based Classification of Data with Time Series-valued Attributes.
Proceedings of the Datenbanksysteme in Business, 2009

2008
Pyramid Technique.
Proceedings of the Encyclopedia of GIS., 2008

Global Correlation Clustering Based on the Hough Transform.
Stat. Anal. Data Min., 2008

Outlier-robust clustering using independent components.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

Robust Clustering in Arbitrarily Oriented Subspaces.
Proceedings of the SIAM International Conference on Data Mining, 2008

HISSCLU: a hierarchical density-based method for semi-supervised clustering.
Proceedings of the EDBT 2008, 2008

2007
RIC: Parameter-free noise-robust clustering.
ACM Trans. Knowl. Discov. Data, 2007

Efficient reverse <i>k</i>-nearest neighbor estimation.
Inform. Forsch. Entwickl., 2007

On Exploring Complex Relationships of Correlation Clusters.
Proceedings of the 19th International Conference on Scientific and Statistical Database Management, 2007

Querying Objects Modeled by Arbitrary Probability Distributions.
Proceedings of the Advances in Spatial and Temporal Databases, 2007

Robust, Complete, and Efficient Correlation Clustering.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Efficiently Processing Continuous k-NN Queries on Data Streams.
Proceedings of the 23rd International Conference on Data Engineering, 2007

ProVeR: Probabilistic Video Retrieval using the Gauss-Tree.
Proceedings of the 23rd International Conference on Data Engineering, 2007

Detection and Visualization of Subspace Cluster Hierarchies.
Proceedings of the Advances in Databases: Concepts, 2007

Effective and Efficient Indexing for Large Video Databases.
Proceedings of the Datenbanksysteme in Business, 2007

Efficient Reverse k-Nearest Neighbor Estimation.
Proceedings of the Datenbanksysteme in Business, 2007

2006
Komplexe Objektbeschreibungen zur Suche in Multimedia-Datenbanken.
Datenbank-Spektrum, 2006

Enhancing instance-based classification with local density: a new algorithm for classifying unbalanced biomedical data.
Bioinform., 2006

Probabilistic Ranking Queries on Gaussians.
Proceedings of the 18th International Conference on Scientific and Statistical Database Management, 2006

Mining Hierarchies of Correlation Clusters.
Proceedings of the 18th International Conference on Scientific and Statistical Database Management, 2006

Efficient reverse k-nearest neighbor search in arbitrary metric spaces.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2006

Finding Hierarchies of Subspace Clusters.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

DeLi-Clu: Boosting Robustness, Completeness, Usability, and Efficiency of Hierarchical Clustering by a Closest Pair Ranking.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Robust information-theoretic clustering.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Deriving quantitative models for correlation clusters.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

The Gauss-Tree: Efficient Object Identification in Databases of Probabilistic Feature Vectors.
Proceedings of the 22nd International Conference on Data Engineering, 2006

Approximate reverse k-nearest neighbor queries in general metric spaces.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

2005
Functional Cluster Analysis of CT Perfusion Maps: A New Tool for Diagnosis of Acute Stroke?
J. Digit. Imaging, 2005

Modelling of classification rules on metabolic patterns including machine learning and expert knowledge.
J. Biomed. Informatics, 2005

Selectivity Estimation of High Dimensional Window Queries via Clustering.
Proceedings of the Advances in Spatial and Temporal Databases, 9th International Symposium, 2005

Online Hierarchical Clustering in a Data Warehouse Environment.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

2004
The <i>k</i>-Nearest Neighbour Join: Turbo Charging the KDD Process.
Knowl. Inf. Syst., 2004

Immer größere und komplexere Datenmengen: Herausforderungen für Clustering-Algorithmen.
Datenbank-Spektrum, 2004

Supervised machine learning techniques for the classification of metabolic disorders in newborns.
Bioinform., 2004

Computing Clusters of Correlation Connected Objects.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2004

Density Connected Clustering with Local Subspace Preferences.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

2003
Supporting KDD Applications by the k-Nearest Neighbor Join.
Proceedings of the Database and Expert Systems Applications, 14th International Conference, 2003

2002
Combining Approximation Techniques and Vector Quantization for Adaptable Similarity Search.
J. Intell. Inf. Syst., 2002

Optimale Dimensionswahl bei der Bearbeitung des Similarity Join.
Inform. Forsch. Entwickl., 2002

High Performance Data Mining Using the Nearest Neighbor Join.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Optimal Dimension Order: A Generic Technique for the Similarity Join.
Proceedings of the Data Warehousing and Knowledge Discovery, 4th International Conference, 2002

2001
Searching in high-dimensional spaces: Index structures for improving the performance of multimedia databases.
ACM Comput. Surv., 2001

Epsilon Grid Order: An Algorithm for the Similarity Join on Massive High-Dimensional Data.
Proceedings of the 2001 ACM SIGMOD international conference on Management of data, 2001

On Optimizing Nearest Neighbor Queries in High-Dimensional Data Spaces.
Proceedings of the Database Theory, 2001

A Cost Model and Index Architecture for the Similarity Join.
Proceedings of the 17th International Conference on Data Engineering, 2001

Adaptable Similarity Search Using Vector Quantization.
Proceedings of the Data Warehousing and Knowledge Discovery, 2001

Determining the Convex Hull in Large Multidimensional Databases.
Proceedings of the Data Warehousing and Knowledge Discovery, 2001

2000
A cost model for query processing in high dimensional data spaces.
ACM Trans. Database Syst., 2000

Multidimensional Index Structures in Relational Databases.
J. Intell. Inf. Syst., 2000

Independent Quantization: An Index Compression Technique for High-Dimensional Data Spaces.
Proceedings of the 16th International Conference on Data Engineering, San Diego, California, USA, February 28, 2000

Dynamically Optimizing High-Dimensional Index Structures.
Proceedings of the Advances in Database Technology, 2000

The Pruning Power: Theory and Heuristics for Mining Databases with Multiple <i>k</i>-Nearest-Neighbor Queries.
Proceedings of the Data Warehousing and Knowledge Discovery, 2000

Optimal Multidimensional Query Processing Using Tree Striping.
Proceedings of the Data Warehousing and Knowledge Discovery, 2000

High Performance Clustering Based on the Similarity Join.
Proceedings of the 2000 ACM CIKM International Conference on Information and Knowledge Management, 2000

Efficient Similarity Search in Digital Libraries.
Proceedings of IEEE Advances in Digital Libraries 2000 (ADL 2000), 2000

1999
Efficiently Indexing High-Dimensional Data Spaces (Abstract).
Datenbank Rundbr., 1999

XZ-Ordering: A Space-Filling Curve for Objects with Spatial Extension.
Proceedings of the Advances in Spatial Databases, 1999

Efficient Bulk Loading of Large High-Dimensional Indexes.
Proceedings of the Data Warehousing and Knowledge Discovery, 1999

Implementation of Multidimensional Index Structures for Knowledge Discovery in Relational Databases.
Proceedings of the Data Warehousing and Knowledge Discovery, 1999

1998
The Pyramid-Technique: Towards Breaking the Curse of Dimensionality.
Proceedings of the SIGMOD 1998, 1998

Improving the Query Performance of High-Dimensional Index Structures by Bulk-Load Operations.
Proceedings of the Advances in Database Technology, 1998

Efficiently Indexing High-Dimensional Data Spaces.
PhD thesis, 1998

1997
Fast Parallel Similarity Search in Multimedia Databases.
Proceedings of the SIGMOD 1997, 1997

A Cost Model For Nearest Neighbor Search in High-Dimensional Data Space.
Proceedings of the Sixteenth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 1997

1995
Prints of the 17th Century in a Distributed Digital Library System
Proceedings of the Database and Expert Systems Applications, 1995


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